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• W2912010430 abstract "The increased focus on environmental awarenessorganizations across the world to adopt reverse logistics as their key functional business area. Vehicle routing problem with simultaneous deliveries and pickups (VRPSDP) is one of the major issues under reverse logistics and in this paperattempt is made to solve the same. Since this problem belongs to NP increase in number of customer nodes will increase the computational complexity of the problem. Due to the robustness of genetic algorithm in solving complex problem, Genetic Algorithms (GAs) with four different designs are proposed to solve VRPSDP. Experimental results are tested statistically using ANOVA with three factors, viz. “Problem Size”, “Algorithm” and “Mutation Probability”. Based on the significance using ANOVA with respect to the factor “Algorithm”, Duncan’s multiple range test iscarried out to draw inferences on proposed algorithms." @default.
• W2912010430 created "2019-02-21" @default.
• W2912010430 creator A5029876777 @default.
• W2912010430 creator A5031560027 @default.
• W2912010430 date "2018-01-01" @default.
• W2912010430 modified "2023-09-28" @default.
• W2912010430 title "DEVELOPMENT AND COMPARISON OF GENETIC ALGORITHMS FOR VEHICLE ROUTING PROBLEM WITH SIMULTANEOUS DELIVERIES AND PICKUPS IN A SUPPLY CHAIN NETWORK" @default.
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• W2912010430 hasPublicationYear "2018" @default.
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• W2912010430 hasAuthorship W2912010430A5029876777 @default.
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